Bibliometric methods in traffic flow prediction based on artificial intelligence
Artificial intelligence (AI) technologies are increasingly applied to traffic flow prediction (TFP)
to enhance prediction accuracy. This study utilizes bibliometric methods and network …
to enhance prediction accuracy. This study utilizes bibliometric methods and network …
Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control
Deep reinforcement learning (RL) has been widely studied in traffic signal control. Despite
the promising results that indicate the superiority of deep RL in terms of the quality of …
the promising results that indicate the superiority of deep RL in terms of the quality of …
Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks
This paper proposes a decentralized network-level traffic signal control method addressing
the effects of queue spillbacks. The method is traffic-responsive, does not require data …
the effects of queue spillbacks. The method is traffic-responsive, does not require data …
Book your green wave: exploiting navigation information for intelligent traffic signal control
Traffic congestion alleviation around intersections has been a growing challenge, and a
competent traffic signal control scheme plays a pivotal role in intelligent transportation …
competent traffic signal control scheme plays a pivotal role in intelligent transportation …
Temporal pattern mining of urban traffic volume data: A pairwise hybrid clustering method
Multiple pattern analyses of traffic data have been conducted previously; however, it has yet
to be explored with an awareness of temporal factors in big real-world traffic data. In this …
to be explored with an awareness of temporal factors in big real-world traffic data. In this …
[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment
W Quan, Q Xie - Journal of Environmental and Public Health, 2022 - Wiley Online Library
In order to solve the problem that the ideological and political work mechanism in colleges
and universities is relatively backward, which has no significant effect on ensuring the …
and universities is relatively backward, which has no significant effect on ensuring the …
Deep Learning Methods for Inverse Problems in Traffic Flow
BT Thodi - 2023 - search.proquest.com
Deep learning methods have drawn significant interest within scientific computing for solving
forward and inverse problems, and the transportation engineering community is no …
forward and inverse problems, and the transportation engineering community is no …
Optimal distributed signal control for platooning in connected vehicle networks
Pressure-based algorithms such as Back Pressure and Max Weight have been widely
adopted in traffic signal control because of their simplicity and proven throughput …
adopted in traffic signal control because of their simplicity and proven throughput …
Incentive-based cooperative traffic management: A state-of-the-art review
The DIT4TraM project capitalises on the concepts of swarm intelligence and mechanism
design. One of its use-cases focuses on developing incentive-based traffic management …
design. One of its use-cases focuses on developing incentive-based traffic management …
Application of Artificial Intelligence Technology in the Design of Intelligent Networked Vehicle Talent Training System
Y Xie, Y Zhao, Y Zhang - 2023 2nd International Conference on …, 2023 - ieeexplore.ieee.org
Smart connected cars are becoming the most important “wind vane” in the development of
the global automotive industry, driving the industry to develop towards intelligence and …
the global automotive industry, driving the industry to develop towards intelligence and …